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Interactive installer for Everything Claude Code — guides users through selecting and installing skills and rules to user-level or project-level directories, verifies paths, and optionally optimizes installed files.

Create scalable, containerized bioinformatics pipelines with Nextflow DSL2 supporting Docker, Singularity, and cloud execution. Use when building portable pipelines with container support, running workflows on cloud platforms (AWS, Google Cloud), or leveraging nf-core community pipelines.

Use when LibreChat has errors, containers won't start, API calls fail, file uploads break, models return errors, or something isn't working as expected. Also use for checking service health, reading logs, and diagnosing performance issues.

High-performance reinforcement learning framework optimized for speed and scale. Use when you need fast parallel training, vectorized environments, multi-agent systems, or integration with game environments (Atari, Procgen, NetHack). Achieves 2-10x speedups over standard implementations. For quick prototyping or standard algorithm implementations with extensive documentation, use stable-baselines3

Mantenha um changelog claro e informativo para lançamentos de software. Utilize-o para documentar mudanças de versão, rastrear funcionalidades e comunicar atualizações aos usuários, lidando com versionamento semântico e formatos de notas de lançamento.

World-class data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, and modern data stack. Includes data modeling, pipeline orchestration, data quality, and DataOps. Use when designing data architectures, building data pipelines, optimizing data workflows, or implementing data governance.

A directory path, file path, or natural language scope like "auth layer" or "API routes". Omit to vet the entire project.

Geração e teste automatizados de hipóteses utilizando grandes modelos de linguagem. Esta skill é usada para gerar hipóteses científicas a partir de conjuntos de dados, combinar insights da literatura com dados empíricos, testar hipóteses contra dados observacionais e explorar sistematicamente hipóteses para descobertas em pesquisa, em áreas como detecção de engano, detecção de conteúdo de IA ou análise de saúde mental.

Query GTEx (Genotype-Tissue Expression) portal for tissue-specific gene expression, eQTLs (expression quantitative trait loci), and sQTLs. Essential for linking GWAS variants to gene regulation, understanding tissue-specific expression, and interpreting non-coding variant effects.

Skill unificada de implantação de modelos Azure OpenAI com roteamento inteligente baseado em intenção. Gerencia implantações rápidas predefinidas, implantações totalmente personalizadas (versão/SKU/capacidade/política RAI) e descoberta de capacidade entre regiões e projetos.

Autonomous deep-work agent loop for driving projects forward. Each invocation: reads project state, applies critical expert thinking, executes one focused unit of work, persists to notebook + PROJECT_STATE.md. Sets up /loop cron on first run (default 10m). Three-tier confidence gate (GREEN/YELLOW/RED) blocks action when human input is needed. Invoke ONLY via /liquid-cat-physics or 'lcp' — do NOT t

AI-powered analysis of hemoglobin disorders including sickle cell disease, thalassemias, and variant hemoglobins using HPLC, electrophoresis, and molecular data.